17550141. RECOMMENDER FOR ADVERTISEMENT PLACEMENTS IN SEQUENTIAL WORKFLOWS simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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RECOMMENDER FOR ADVERTISEMENT PLACEMENTS IN SEQUENTIAL WORKFLOWS

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Herbert Scott Mcfaddin of Yorktown Heights NY (US)

Chandrasekhar Narayanaswami of Wilton CT (US)

RECOMMENDER FOR ADVERTISEMENT PLACEMENTS IN SEQUENTIAL WORKFLOWS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17550141 titled 'RECOMMENDER FOR ADVERTISEMENT PLACEMENTS IN SEQUENTIAL WORKFLOWS

Simplified Explanation

The patent application describes a system that engages users in a primary activity, which consists of multiple stages. The system compiles risk-reward scores for advertisement placements in each stage and recommends the best stage for displaying the advertisement to the user based on these scores.

  • The system engages users in a primary activity with multiple stages.
  • It calculates risk-reward scores for advertisement placements in each stage.
  • It identifies the recommended stage for displaying the advertisement based on the risk-reward score.
  • The advertisement is then displayed to the user at the recommended stage.

Potential Applications

This technology could be applied in various industries and scenarios where user engagement and targeted advertising are important. Some potential applications include:

  • Online gaming platforms: Recommending advertisement placements during different stages of a game to maximize user attention and engagement.
  • E-commerce websites: Displaying targeted advertisements at specific stages of the user's shopping journey to increase the likelihood of conversion.
  • Streaming platforms: Recommending advertisement placements during specific stages of a video or show to capture the user's attention without disrupting their viewing experience.

Problems Solved

The technology addresses several problems related to advertisement placement and user engagement:

  • Maximizing user attention: By recommending the most appropriate stage for advertisement placement, the system ensures that users are more likely to notice and engage with the advertisement.
  • Targeted advertising: By analyzing risk-reward scores, the system can identify the stages where the advertisement is most likely to resonate with the user's interests and preferences.
  • Optimal advertisement timing: By displaying the advertisement at the recommended stage, the system ensures that it is shown at the most opportune moment, increasing the chances of user interaction and conversion.

Benefits

The technology offers several benefits for both advertisers and users:

  • Improved advertisement effectiveness: By recommending the best stage for advertisement placement, advertisers can increase the likelihood of capturing the user's attention and achieving their advertising goals.
  • Enhanced user experience: By displaying advertisements at the recommended stage, users are less likely to perceive them as intrusive or disruptive, leading to a more positive overall experience.
  • Increased revenue potential: By optimizing advertisement placements, the system can potentially increase user engagement and conversion rates, resulting in higher revenue for advertisers.


Original Abstract Submitted

A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations. The operations may include engaging a user in a primary activity; the primary activity may include a plurality of stages. The operations may include compiling at least one risk-reward score for an advertisement placement of an advertisement for at least one of the plurality of stages. The operations may include identifying a recommended stage for the advertisement; the recommended stage may be based on the risk-reward score. The operations may include displaying the advertisement to the user at the recommended stage.

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